亚马逊Senior Data Engineer, Amazon Global Selling - AIT
任职要求
基本任职资格 - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices 优先任职资格 - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses Our incl…
工作职责
• Design and implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, and storage, supporting both real-time and offline analytics needs. • Develop automated data monitoring tools and interactive dashboards to enhance business teams’ insights into core metrics (e.g., user behavior, AI model performance). • Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), and build a unified data layer. • Establish data standardization and governance policies to ensure consistency, accuracy, and compliance. • Provide structured data inputs for AI model training and inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows. • Explore innovative AI-data integration use cases (e.g., embedding AI-generated insights into BI tools). • Provide technical guidance and best practice on data architecture that meets both traditional reporting purpose and modern AI Agent requirements.
• Collaborate with BIE,DE, PM, CSM to research, design, develop, and evaluate generative AI solutions to address Global Selling challenges. • Interact with stakeholders directly to understand their business problems, aid them in implementation of generative AI solutions, brief stkaholders and guide them on adoption patterns and paths to production • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
• Define and deliver large-scale BI solutions, including data modeling, KPI standardization, and pipeline automation. • Lead migration of legacy reporting into modern AWS QuickSight and other BI platforms. • Establish and maintain data foundations for social and marketing data, ensuring completeness, accuracy, and compliance. • Conduct advanced analytics, including user behavior modeling, segmentation, and marketing campaign measurement. • Generate actionable insights and recommendations to improve seller journeys, marketing effectiveness, and AI agent performance. • Collaborate with marketing operation team, data engineers, product managers, SDEs, financial analysts, and data scientists to design metrics and guide business decisions. • Drive best practices in operational excellence, data quality management, and data governance. A day in the life You will define marketing BI strategy, build scalable data models and generate actionable insights that drive product, marketing, and AI initiatives. You will partner with data engineering, product, and science teams to ensure high-quality, compliant, and scalable data foundations. Your work will directly influence AI-powered agents, seller engagement, and business growth.
Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create? The Role: As a Senior Tooling Engineer, you will be responsible for driving the design, fabrication, and validation of tooling for product development. You will work with Product Design, Mechanical Process Engineers, and Supply Chain Management to identify supply base vendors and fabrication technologies. You will be responsible for creating tooling designs to deliver consumer products with demanding fit and finish requirements. You will develop, investigate, and implement industry best practices in tool design and construction. You will be required to validate a wide range of materials and processes including plastic molding, metal part fabrication, and decorative processes. In this role, you will: - Collaborate with Product Design, Industrial Design, and Mechanical Process Engineering teams to support product development - Collaborate with Lab126 suppliers to design and fabricate world-class tooling - Manage tool design, fabrication, and validation at the supply base - Drive analytical modeling and analysis of tooling concepts and design through "Mold Flow" and similar software - Have excellent oral and written communication skills including effective presentation of complex data - Support the design, manufacture, and coordinate the procurement of dimensional and functional jigs / fixtures for tooling validation - Develop the Lab126 supply base to utilize new materials and fabrication techniques for injection molding - Be required to mentor and develop junior engineers as necessary - Identify technical risks and define mitigation plan - Travel domestically and internationally to supplier sites as projects require
- Develop BI solutions based on the business requirement through the understanding of business and this role’s technical skills (SQL & Python) - Create and drive strategic initiatives that enable data-driven decision making across the organization. - Drive operational excellence in data engineering practices and establish best practices for the organization. - Create scalable, long-term mechanisms for data quality and governance. - Partners with cross-functional teams to identify and resolve seller experience friction points. - Having sense of data governance, permission control, and risk controls.